package test07;

import java.util.Arrays;
import java.util.HashSet;
import java.util.Set; /**
 * 深度伪造检测处理器
 */
public class DeepfakeHandler extends ContentHandler {
    private String detectionModel = "deepfake-v3";
    private double confidenceThreshold = 0.8;
    private Set<String> deepfakeTypes;

    public DeepfakeHandler() {
        super("深度伪造检测器");
        this.deepfakeTypes = new HashSet<>(Arrays.asList(
                "face_swap", "voice_clone", "expression_manipulation"
        ));
    }
    @Override
    protected boolean canHandle(ContentCheckRequest request) {
        // 处理图像、视频、音频内容
        return request.getContentType() == ContentType.IMAGE ||
                request.getContentType() == ContentType.VIDEO ||
                request.getContentType() == ContentType.AUDIO ||
                request.getContentType() == ContentType.MULTIMODAL;
    }
    @Override
    protected CheckResult doCheck(ContentCheckRequest request) {
        // 模拟AI模型检测
        double confidence = Math.random();
        boolean isDeepfake = confidence > confidenceThreshold;
        if (isDeepfake) {
            String fakeType = deepfakeTypes.iterator().next();
            if (confidence > 0.9) {
                return new CheckResult(false, RiskLevel.HIGH,
                        "检测到深度伪造内容(" + fakeType + ")", confidence, "BLOCK");
            } else {
                return new CheckResult(false, RiskLevel.MEDIUM,
                        "疑似深度伪造内容，需要人工复核", confidence, "REVIEW");
            }
        }
        return new CheckResult(true, RiskLevel.LOW, "未检测到伪造痕迹", 1 - confidence, "PASS");
    }

    public void setConfidenceThreshold(double threshold) {
        this.confidenceThreshold = threshold;
    }
}
